Shi Gu
13 papers · 2021–2026 · 8 conferences · across top CS/AI conferences
Achievements
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š Cross-Pollinator (11) š Interdisciplinary Bridge š§ Keyword Pioneer š Conference Polyglot (6) š Academic Marathon (5)
š
Academic Marathon
(5)
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Triple Crown
š
Grand Slam
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Prolific Year
(5)
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Unstoppable
(5)
š
Century Club
(11)
Conferences
ICLR (4)
ICML (2)
NIPS (2)
AAAI (1)
ACL (1)
CVPR (1)
ICCV (1)
MIDL (1)
Top co-authors
Keywords
spiking neural network
(3)
spiking neuron
(2)
surrogate gradient
(2)
neuromorphic computing
(1)
knowledge distillation
(1)
model interpretability
(1)
neuromorphic hardware
(1)
gradient descent
(1)
loss function
(1)
artificial neural network
(1)
concept bottleneck model
(1)
concept discovery
(1)
temporal pattern
(1)
gradient error
(1)
adaptive segmentation
(1)
multimodal pretraining
(1)
brain signal decoding
(1)
network training
(1)
ann to snn conversion
(1)
network calibration
(1)
Papers
SPEAK: Spiking Neurons as an Entropy-Aware Tokenizer for Large Language Models
ACL 2026
SĀ³: Spiking Neurons as an Isolating Segmenter for Brain Signal Decoding
AAAI 2026
Hybrid Concept Bottleneck Models
CVPR 2025
Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness
ICLR 2025
Train Once, Deploy Anywhere: Edge-Guided Single-source Domain Generalization for Medical Image Segmentation
MIDL 2024
Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks
NIPS 2024
Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks
ICML 2023
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
ICLR 2022
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
ICML 2021
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks
NIPS 2021
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
ICLR 2021
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
ICLR 2021
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing
ICCV 2021